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Record W3165690983 · doi:10.22584/nr51.2021.003

The Canadian Rangers: Cornerstone for Community Disaster Resilience in Canada’s Remote and Isolated Communities

2021· article· en· W3165690983 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueThe Northern Review · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsTrent UniversitySt. Francis Xavier University
Fundersnot available
KeywordsCornerstoneGovernment (linguistics)Resilience (materials science)Local governmentPsychological resilienceDisaster responseCommunity resiliencePolitical scienceEmergency managementPublic relationsEnvironmental planningPublic administrationEnvironmental resource managementGeographyResource (disambiguation)PsychologyArchaeologyEnvironmental science

Abstract

fetched live from OpenAlex

The Canadian Rangers are Canadian Armed Forces Reservists who serve in remote, isolated, northern, and coastal communities. Due to their presence, capabilities, and the relationships they enjoy with(in) their communities, Rangers regularly support other government agencies in preparing for, responding to, and recovering from a broad spectrum of local emergency and disaster scenarios. Drawing upon government and media reports, focus groups, and interviews with serving members, and a broader literature review, this article explains and assesses, using a wide range of case studies from across Canada, how the Rangers strengthen the disaster resilience of their communities. Our findings also suggest ways to enhance the Rangers’ functional capabilities in light of climate and environmental changes that portend more frequent and severe emergencies and disasters. It also argues that the organization can serve as a model for how targeted government investment in a local volunteer force can build resilience in similar remote and isolated jurisdictions, particularly in Greenland and Alaska.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.784
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.052
GPT teacher head0.315
Teacher spread0.263 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it